Rethomics: An R framework to analyse high-throughput behavioural data

GEISSMANN, QUENTIN; RODRIGUEZ, LUIS GARCIA; BECKWITH, ESTEBAN J.; GILESTRO, GIORGIO F.

PLOS ONE

PUBLIC LIBRARY SCIENCE

Año: 2019 vol. 14

1932-6203

The recent development of automatised methods to score various behaviours on a large number of animals provides biologists with an unprecedented set of tools to decipher these complex phenotypes. Analysing such data comes with several challenges that are largely shared across acquisition platform and paradigms. Here, we present rethomics, a set of R packages that unifies the analysis of behavioural datasets in an efficient and flexible manner. rethomics offers a computational solution to storing, manipulating and visualising large amounts of behavioural data. We propose it as a tool to bridge the gap between behavioural biology and data sciences, thus connecting computational and behavioural scientists. rethomics comes with a extensive documentation as well as a set of both practical and theoretical tutorials (available at https://rethomics.github.io).